In today's fiercely competitive e-commerce space, choosing the right products and improving user experience is paramount for sellers to increase market sales and create a strong brand presence. By leveraging tools such as sentiment analysis, voice of customer research, feedback analytics, product research, audience analytics, competitor analysis and Amazon ratings & reviews data, sellers can gain a better understanding of their customer base to develop more targeted campaigns that directly meet customer needs and drive customer satisfaction.





Looking at the bestseller rankings (BSR) and average star ratings for products within this category can give us a comprehensive idea of user demand and satisfaction. This information can help us create effective pricing strategies and product offerings, catering to customers needs and optimizing their market position.
Target your customers through customer profile
By studying customer profiles and related data, businesses can develop an optimized product profile that resonates with the target audience. Collecting voice of customer feedback, Amazon reviews, and other audience research provides valuable insights into customer behaviors and preferences, arming sellers with the knowledge to craft products or campaigns that speak to the right customers and propel sales.
Ship products your customers love through sentiment analysis
Sentiment analysis can be used to uncover consumer discontent with products, automatically divide NR and PR, and present data about product quality issues, packaging recommendations, marketing flaws, and inadequate service in a digitized format. Through the issues found in VOCs with CTQs, businesses are able to initiate a closed loop from problem to action that enables constant iterations and optimization of product quality. Additionally, customer emotion data can be analyzed to facilitate predictions of upcoming trends before competitors and customize products to meet customers’ needs.
Cons | |
---|---|
leg | 13.64% |
slightly bent | 2.65% |
splay out wide | 1.08% |
have a slight bend bode inward slight | 0.69% |
buckle | 0.49% |
flimsy | 0.49% |
walker | 10.99% |
wheel | 10.89% |
product | 6.48% |
chair | 3.83% |
Pros | |
---|---|
walker | 30.22% |
solid | 11.40% |
light | 8.08% |
good quality | 2.92% |
easy to use | 1.13% |
easy to assemble | 1.06% |
product | 9.61% |
fold | 4.37% |
wheel | 3.91% |
height | 3.78% |
Make the smartest sales decisions through Buyers Motivation
Companies should strive to understand customer needs and preferences by utilizing surveys and feedback, by analyzing data from past purchases, and by tracking market trends. Doing so will help them develop effective pricing strategies that are tailored to the buyer's motivation. Furthermore, businesses can boost their sales by offering customers value through competitive prices, appropriate discounts, quality products, convenient services, and exceptional customer service. Through understanding customer motivation and providing value, companies will be able to make educated decisions that will bring long-term success.
Topic | Mentions |
---|---|
sturdy | 4 |
light weight | 3 |
description | 2 |
light | 2 |
price | 2 |
Understand customers need for prioritizing what to build next
Prioritizing what to build next can be informed by analyzing customer sentiment through Amazon reviews and product research. Competitor analysis can also be used to gain insights into current and upcoming trends. Consideration of customer expectations is critical in creating successful products that will maintain customer satisfaction and loyalty.
Topic | Mentions | Review Snippets |
---|---|---|
wheel roll | 13 | wheel wheel turn |
swivel wheel | 7 | swivel wheel |
more sturdy feeling | 5 | more sturdy more sturdy more sturdy feeling |
seat option | 5 | seat seat ability |
help | 4 | help |
wheel on inside | 4 | wheel on inside |
big wider | 3 | wider |
glide good | 3 | durable glide glide good good glide |
heavy | 3 | heavy |
last long | 3 | last long |
Shulex VOC is an AI-powered platform that helps companies gain valuable customer insights from Amazon review analysis. It works by providing users with core capabilities such as customer profiles, sentiment analysis, buyers motivation and customer expectations. This enables businesses to tap into the power of voice of customer, utilizing AI modeling for a comprehensive view of customer experience, product research & selection as well as optimizing quality and reputation. The insights gleaned from this data can then be implemented to foster a healthy relationship between customers and brand.